Understand Trigger Intervals in Streaming Pipelines in Databricks When defining a streaming write, the trigger the method specifies when the system sh...

Aviral-Bhardwaj
Esteemed Contributor III

‎12-17-2022 09:33 PM

Understand Trigger Intervals in Streaming Pipelines in Databricks

When defining a streaming write, the trigger

 the method specifies when the system should process the next set of data.

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Triggers are specified when defining how data will be written to a sink and controlling the frequency of micro-batches. By default, Spark will automatically detect and process all data in the source that has been added since the last trigger.

NOTE: Trigger.AvailableNow is a new trigger type that is available in DBR 10.1 for Scala only and available in DBR 10.2 and above for Python and Scala.

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Aviral Bhardwaj

AviralBhardwaj
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